Computer
Animation
Bachelor of Science Degree Program
Fine Arts
Modeling
Animation
Effects
Final Project/
Demo Reel
Cre-ation
Areas of Focus
Master of Science Degree Program
business intelligence technologies, and
develop key technical and analytical skills in
data visualization, creative reporting, case
studies, project management, and leadership
development through a series of integrated
learning activities.
Each of your courses will contribute to the
development of your capstone project, which
will be to design and plan the implementation
of a data warehouse – a comprehensive
database supplied by a variety of external
sources. You will demonstrate your abilities
as a BI professional by conducting your own
research, developing and presenting your
findings and recommendations.
The explosive growth of data from the
Internet, social networks, business networks,
as well as the evolution of data management
systems, has given businesses, government
and other organizations the tools to amass a
wealth of information about the individuals
and entities they engage with in a wide
variety of transactions. Organizations are
now recognizing the value this ocean of
data represents. This awareness has fueled
the need for professionals that can mine it,
analyze it, and turn it into effective strategic
and operational actions.
In Full Sail University’s Business Intelligence
master of science degree program, you’ll
learn how to collect, manage, mine, analyze,
interpret, and create visual representations
of Big Data using a variety of tools and
technologies.
You’ll examine topics including data
management, qualitative analysis, and
Foundations
of Business
Intelligence
BI Technologies
BI Analytics
Personal
Development
& Leadership
Skills
Business
Intelligence
Areas of Focus
Areas of Focus
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESSDATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSINGtransactional
online
processing
ANALYTIC
project
MANAGEMENTDATA
EVALUATIONset
managementREPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLSREPORTING
managementBUSINESS
INTELLIGENCE
FOUNDATIONS OF BUSINESS INTELLIGENCE BI TECHNOLOGIES BI ANALYTICS PERSONAL DEVELOPMENT AND LEADERSHIP SKILLScore
processes
BUSINESSDATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSINGtransactional
online
processing
ANALYTIC
project
MANAGEMENTDATA
EVALUATIONset
managementREPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementationmanagament
PROCESS
data
TOOLSREPORTING
managementBUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSINGtransactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATIONset
managementREPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSINGtransactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATIONset
managementREPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
Foundations of
Business Intelligence
Creating effective business intelligence solutions
relies on a data scientist’s foundational knowledge of
the core concepts, processes, and tools of business
intelligence. In the Business Intelligence program,
you’ll be introduced to the core business processes –
as well as the network, online, data management and
reporting tools – that represent the building blocks
of BI systems. Upon completion of the program
students will have a thorough understanding of the
key components needed to construct an effective
business intelligence infrastructure.
BI Technologies
Business intelligence technologies are key building
blocks of a BI solution. In the Business Intelligence
master’s program you’ll acquire an understanding of
data management technologies, with an emphasis
on the design and creation of a data warehouse.
Your courses will teach you the practical planning
and management of data warehouse projects,
including architecture and physical design. You’ll
explore BI systems architecture and the operational
dimensions of BI technology, including database
administration, data warehousing, and data mining.
You will also examine the role of transactional
databases and online transactional processing, and
learn common business intelligence tasks including
reporting, performance monitoring, and forecasting.
Areas of Focus
Areas of Focus
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BI Analytics
Extracting meaningful information from an
organization’s data management system is a critical
step in supporting decision-making within the world
of business intelligence. Your lessons in the Business
Intelligence master’s program will cover topics
including statistical inference, decision-making under
uncertainty, predictive modeling, and modeling of
random processes. Assignments emphasize the role
of business process analysis and critical thinking in
project-planning situations.
Throughout the program, you’ll learn how
technologies such as data warehouses, data
cubes, data marts, and online analytic processing
(OLAP) are used to access, analyze, and distribute
information. You’ll also develop an understanding
of basic statistical and analytic techniques used
in the evaluation of large data sets.
Areas of Focus
Areas of Focus
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESSDATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSINGtransactional
online
processing
ANALYTIC
project
MANAGEMENTDATA
EVALUATIONset
managementREPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLSREPORTING
managementBUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
managementREPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
BUSINESS
INTELLIGENCE
FOUNDATIONS OF
BUSINESS INTELLIGENCE
BI TECHNOLOGIES
BI ANALYTICS
PERSONAL DEVELOPMENT
AND LEADERSHIP SKILLS
core
processes
BUSINESS
DATA
technologies
management
statistical
INFERENCE
PERSUASIVE
skills
BI
systems
data
MINING
process
analysis
active
listening
online
PROCESSING
transactional
online
processing
ANALYTIC
project
MANAGEMENT
DATA
EVALUATION
set
management
REPORTING
data
PROJECTS
warehouse
PREDICTIVE
modeling
implementation
managament
PROCESS
data
TOOLS
REPORTING
management
Personal Development
& Leadership Skills
In order to successfully adopt and implement a BI
proposal, a business intelligence professional must
be able to elicit information from participants, and
explain complex concepts and processes to different
audiences. They must also have the persuasive
skills to encourage buy-in and organizational
change, as well as the leadership skills to manage
implementation processes.
During your time in the Business Intelligence
program, your courses will support the development
of your communication and leadership abilities
by emphasizing skills such as active listening,
negotiation, project management, and presentation
skills. You’ll also learn how to match visualizations and
infographics with text and motion graphics to create
effective, informative, and engaging presentations
in a range of media. Additionally, you will build
vital management skills such as vendor selection,
management reporting, meeting management,
and legal issues that affect BI policy execution.
BUSINESS INTELLIGENCE
OVERVIEW & OBJECTIVE
science degree program prepares
students for careers in Big Data, including
business analysts, data warehouse
administrators, and consultants. Business
Intelligence master of science students
receive graduate-level instruction that
develops the technical, business, and
analytic competencies necessary to inform
effective organizational decision-making.
Graduate courses in data management,
qualitative analysis, and business
intelligence technologies introduce core
knowledge and skills through a series
of interconnected learning experiences.
Students further develop key technical and
analytical skills in courses that address
topics such as data mining methodologies,
pattern recognition and analysis, and
process modeling. As they complete the
program, students will refine
skills by examining a variety of
real-world business challenges, through
advanced lessons in data visualization,
creative reporting, case studies,
project management, and leadership
development. Each course will develop
the student’s academic research skills,
tools, and methodologies as students learn
how to utilize academic research for a
variety of contexts and learning activities.
Throughout the program, students will
develop their capstone thesis project
focusing on building a data warehouse,
which they will deliver in the final month
of the degree.
vast amount of information that can be
utilized to improve their products and
services, make their companies run more
effectively, and transform their business.
As such, utilizing Big Data to make
informed business decisions is a rapidly
growing trend for businesses around
the world. The objective of the Business
Intelligence master of science degree
program is to prepare students to collect,
manage, prepare, analyze, interpret,
and communicate this information for
the improvement of specific business
processes and to inform business
decisions. This goal will be accomplished
by providing students with the knowledge,
skills, and abilities necessary to effectively
utilize data for the improvement
of business results. It will also be
accomplished through project-based
learning activities and guided academic
research applications, which will enable
students to use the appropriate tools
and technologies for data management,
analysis, visualization, and communication.
TOTAL CREDIT HOURS:
36
TOTAL WEEKS:
48
PROGRAM CORE
Code Course Credit Hours
BIN 560 Business Intelligence Analytics 3.00 BIN 680 Business Intelligence Capstone 3.00 BIN 660 Business Intelligence Case Studies 3.00 BIN 650 Business Intelligence
Leadership & Communication Skills 3.00 BIN 550 Business Intelligence Technologies 3.00 BIN 580 Data Mining 3.00 BIN 630 Data Visualization and Creative Reporting 3.00 BIN 530 Enterprise Data Management 3.00 BIN 520 Foundations of Business Intelligence 3.00 MDL 501 Mastery: Personal Development and Leadership 3.00 BIN 610 Patterns and Recognition 3.00 BIN 620 Process Modeling and Analysis 3.00
Totals: 36.00
Business Intelligence
Master of Science Degree Program
Chronological Schedule by Months
1 2 3 4 5 MASTERY: PERSONAL
DEVELOPMENT & LEADERSHIP
FOUNDATIONS OF BUSINESS
INTELLIGENCE ENTERPRISE DATA MANAGEMENT BUSINESS INTELLIGENCE TECHNOLOGIES BUSINESS INTELLIGENCE ANALYTICS 6 7 8 9 10 DATA MINING RECOGNITIONPATTERNS & PROCESS MODELING & ANALYSIS DATA VISUALIZATION & CREATIVE REPORTING BUSINESS INTELLIGENCE LEADERSHIP &
COMMUNICATION SKILLS 11 12
BUSINESS INTELLIGENCE
BIN 560
Business Intelligence Analytics
The Business Intelligence Analytics Course provides an overview of fundamental concepts, tools, and techniques used to extract meaningful information from an organization’s data in order to support effective decision making. The course will further develop students’ understanding of statistical and analytic techniques used in forecasting and predictive analysis. Special emphasis will be placed on probability and an introduction to the Bayesian Paradigm and Bayesian statistical methods. Lessons will cover topics including statistical inference, decision making under uncertainty, predictive modeling, and modeling of random processes. Assignments will emphasize the role of business process analysis and critical thinking in the planning of BI projects and data warehouse projects.
Course Outline
Online Analytic Processing (OLAP) Decision Making Under Uncertainty Bayesian Statistical Methods Forecasting and Predictive Analysis Statistical Inference Academic Research and Methodologies
Total credit hours 3.00 Course length 4 weeks BIN 680
Business Intelligence Capstone
The Business Intelligence Capstone Course will provide students with an opportunity to demonstrate mastery of program curriculum as they deliver their data warehouse and present key findings to colleagues and project stakeholders. Students will present a final thesis document that summarizes the project, methodologies, key results, and recommendations. In addition to presenting a functional data warehouse and executive dashboard, students will deliver a presentation that summarizes their project, results, and recommendations through the effective use appropriate data visualization and infographics. The final presentation will emphasize professional communication and critical thinking skills as much as technical competence.
Course Outline
Written Report Including Project Plan, Methodology, and Recommendations
Presentation, Infographics, and Visualization
Data Warehouse and Dashboard Academic Research and Methodologies
Total credit hours 3.00 Course length 4 weeks
BIN 660
Business Intelligence Case Studies
The Business Intelligence Case Studies Course will synthesize student learning through case analysis and the practical application of business intelligence (BI) analytic processes to a range of business problems. Throughout the course, students will use a series of case studies to address a variety of real-world problems involving enterprise level business analysis. The course will focus use of BI processes, tools, and techniques to generate viable solutions to complex problems in a variety of domains. Activities will focus on developing the creative problem solving and critical thinking skills to support the range of BI decision-making processes from identification and analysis of problems to the presentation of results. Students will practice virtual meetings, interviews, and presentation skills in a variety of group and individual exercises.
Course Outline
Case Analysis Creative Problem Solving and Critical Thinking
Project Planning Academic Research and Methodologies Enterprise Level Business Analysis
Total credit hours 3.00 Course length 4 weeks
BIN 650
Business Intelligence Leadership &
Communication Skills
The Business Intelligence Leadership and Communication Skills
Course will refine students’ abilities to listen, ask questions, and explain complex
processes, policies, and results to variety of audiences across an organization. Students will match visualizations and infographics with text and motion graphics to create effective, informative, and engaging presentations in a range of media. Lessons cover a variety of operational topics including vendor selection, management reporting, and legal issues that affect business intelligence (BI) policy and implementation. Exercises will emphasize skills necessary for successful BI professionals including listening, negotiation, and meeting management. Students will also work to finalize their capstone project presentation.
Course Outline
Create Effective Presentations in a Range of Media
Listening Vendor Selection Negotiation Budgeting Meeting Management
Management Reporting Academic Research and Methodologies Legal Issues that Effect BI Policy
and Implementation
Course Descriptions
Program Core
BIN 550
Business Intelligence Technologies
The Business Intelligence Technologies Course develops students’ understanding of data management technologies and processes that support successful business intelligence (BI) systems with an emphasis on the design and creation of a data warehouse. Lessons cover the practical planning and management of data warehouse projects including architecture and physical design. Topics include the basics of extract, transform, and load (ETL) processes as well as the implementation and management of data warehouses. Students will explore common BI systems architecture and the operational dimensions of BI technology including database administration, data warehousing, and data mining. The course will also examine the role of transactional databases and online transactional processing (OLTP) and explore common BI tasks including reporting, performance monitoring, and forecasting. Students will learn how technologies such as data warehouses, data cubes, data marts, and online analytic processing (OLAP) are used to access, analyze, and distribute organizational information. Case analysis and real-world examples will provide students with an introduction to basic statistical and analytic tools used by BI to solve problems and improve decision making in a variety of industries and contexts.
Course Outline
Extract, Transform, and Load (ETL) Online Analytic Processing (OLAP) BI Systems Architecture Common BI Tasks
Database Administration, Data Warehousing, and Data Mining
Basic Statistical and Analytic Tools Online Transactional Processing (OLTP) Academic Research and Methodologies
Total credit hours 3.00 Course length 4 weeks
BIN 580
Data Mining
The Data Mining Course will examine how data mining tools, techniques, and intelligent processes are used to identify patterns in data that yield information, insight, and enterprise intelligence. Students will explore data mining concepts and practical techniques and methodologies for extracting information from large data sets using algorithms. Lessons will cover a variety of data mining and machine-learning processes and concepts including clustering, association, classification, and outlier analysis. Students will apply course concepts as they use professional data-mining tools on large data sets. This course will also address estimating the value of data mining insights and examine project management and reporting issues specific to data mining.
Course Outline
Algorithms and Machine Learning Estimating Value of Insights and Discoveries
Data Mining Tools Classification Project Management and Planning Clustering and Association Academic Research and Methodologies
Total credit hours 3.00 Course length 4 weeks BIN 630
Data Visualization and Creative Reporting
The Data Visualization and Creative Reporting Course will sharpen students’ abilities to present complex results to a wide range of audiences across an organization. Students will learn about practical techniques and the latest tools for developing impactful data visualizations and infographics. The course will address concepts and design considerations for dashboards, user interface, and web-based reporting and examine how each supports a variety of knowledge management requirements. The course will address the use of dashboards, including web-based and desktop widgets and stand-alone software applications. Students will also explore current technical and user interface considerations of responsive web design as well as data-fusion techniques and the presentation of real-time, location-based, and social network data.
Course Outline
Data Visualization and Infographics User Interface Design Virtual Presentations Mobile Reporting
Dashboards Academic Research and Methodologies
Total credit hours 3.00 Course length 4 weeks
BIN 530
Enterprise Data Management
The Enterprise Data Management Course explores the “big picture” of enterprise data systems and sources, taking a holistic approach to knowledge management within organizations. This course will introduce enterprise and management-level information systems that support business processes including enterprise resource planning (ERP), decision support systems (DSS), supply chain management (SCM), knowledge management systems (KMS), customer relationship management (CRM), and human resources information systems (HRIS). Students will explore the impact of the Internet on traditional IT systems management with particular focus on the technical and policy impact personal smart devices and the unique security issues raised by mobile applications, social media, and cloud-based systems. The course will also introduce students to the fundamentals of logical data models and database design. Assignments focus on the communication and presentation of complex technical information to a range of non-technical audiences. Students will receive their Capstone business case that they’ll use to develop a project plan, data warehouse, final report, and presentation to be delivered at the completion of their degree Month 12.
Course Outline
Enterprise Resource Planning (ERP) Logical Data Models and Database Design Management Information Systems (MIS) Communicating with
Nontechnical Audiences
Decision Support Systems (DSS) Academic Research and Methodologies Mobile Applications, Social Media, and
Cloud-Based Systems
BIN 520
Foundations of Business Intelligence
The Foundations of Business Intelligence Course introduces students to the core concepts, processes, and tools of Business Intelligence. Lessons will introduce business process analysis (BPA) and cover the core business processes that business intelligence (BI) systems seek to address including finance and accounting, marketing, operations, and human resources. Students will explore the basics of common network, Internet, and BI architecture and technologies including data warehouses, data marts, and reporting tools and dashboard. Students will also develop a foundational knowledge of project management considerations for the design, development, and implementation of effective BI systems. Case study and interactive assignments will illustrate how elements of an effective BI system are used to solve a variety of real-world business problems. Finally, students will explore the structure of a formal literature review as they contrast business and academic research methods in preparation for the selection of their Capstone Thesis topic.
Course Outline
Business Process Analysis (BPA) Project Management Networking and Internet Technologies Academic and Business
Research Methods BI Architecture Literature Review
Total credit hours 3.00 Course length 4 weeks
MDL 501
Mastery: Personal Development and Leadership
At the level of a master’s degree, the objective of a graduate education is for a student to be able to demonstrate a mastery of a specific field of study. In the
Mastery: Personal Development and Leadership Course, students will
explore the concept of mastery from an interdisciplinary perspective, utilizing historical case studies, anthropology, leadership science, and neuroscience. Students will gain an understanding of what mastery means and how they can utilize this concept for their own personal development, establishing a deep connection with their academic discipline and developing professional leadership skills. Specifically, students will examine the roles of apprenticeship, in-depth learning, creativity, immersion, reflection, and practice. They will also learn graduate-level academic research methodologies, tools, and processes and apply these to course learning activities. In addition to academic tools and research methodologies specific to the curriculum, students will learn and utilize the appropriate graduate-level academic research approaches that are supportive for this graduate-level of education. The course serves as the student’s first step in their journey from student to practitioner, where they will gain a holistic understanding of what is required to be a successful graduate student and a master of their particular subject.
Course Outline
Mastery Concepts In-Depth Immersion and Reflection Case Studies Academic Research and Methodologies Leadership Principles
Total credit hours 3.00 Course length 4 weeks
BIN 610
Patterns and Recognition
The Patterns and Recognition Course will examine advanced data-mining concepts and techniques used to identify meaningful statistical patterns and relationships in data. Students will explore the use of algorithms in a variety of BI processes from basic pattern recognition to search engines and real-time analysis (RTA). Assignments will use case studies to emphasize the role of data mining in supporting effective organizational decision making. Students will also examine how algorithms are used to support social network analysis as well as speech and image recognition. Students will apply course concepts using data-mining tools to examine live data sets that support development of their capstone project.
Course Outline
Advanced Data-Mining Tools and Techniques
Social Network Analysis Real-Time Analysis (RTA) Speech and Image Recognition Pattern Recognition Academic Research and Methodologies Search Engines
Course Descriptions
Program Core
BIN 620
Process Modeling and Analysis
The Process Modeling and Analysis Course will address how business intelligence systems are used to support the analysis and improvement of business processes. In addition to an exploration of business process modeling (BPM), process simulation modeling (PSIM), and enterprise risk modeling the course will examine a variety of statistical simulation and modeling concepts including model validation, sensitivity estimation, and Monte Carlo simulation. Lessons will also cover AB testing and optimization through simulation, including the use of Bayesian statistics in simulations used to support optimization processes. Selected cases and assignments will explore practical application of business-process analytics in solving real-world quality control, user-experience, and process-improvement problems. Students will also explore the application of course concepts in decision support systems (DSS) and the selection of key performance indicators (KPIs), including the use of balanced scorecards to monitor organization performance.
Course Outline
Process Simulation Modeling (PSIM) Monte Carlo Simulation Enterprise Risk Modeling AB Testing
Statistical Simulation Key Performance Indicators (KPIs) Optimization Academic Research and Methodologies